{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T16:06:45Z","timestamp":1774627605245,"version":"3.50.1"},"reference-count":29,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,1,22]],"date-time":"2019-01-22T00:00:00Z","timestamp":1548115200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007049","name":"Korea Institute of Ocean Science and Technology","doi-asserted-by":"publisher","award":["PE99398"],"award-info":[{"award-number":["PE99398"]}],"id":[{"id":"10.13039\/501100007049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007049","name":"Korea Institute of Ocean Science and Technology","doi-asserted-by":"publisher","award":["PE99605"],"award-info":[{"award-number":["PE99605"]}],"id":[{"id":"10.13039\/501100007049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Tidal flats are associated with complicated depositional and ecological environments, and have changed considerably as a result of the erosion and sedimentation caused by tidal energy; consequently, the surface sediment distribution in tidal flats must be constantly monitored and mapped. Although several studies have been conducted with the aim of classifying intertidal surface sediments using various remote sensing methods combined with field survey, most of these studies were unable to consider various sediment types, due to the low spatial resolution of remotely sensed data. Therefore, previous studies were unable to efficiently describe precise surface sediment distribution maps. In the present study, unmanned aerial vehicle (UAV) red, green, blue (RGB) orthoimagery was used in combination with a field survey (232 samples) to produce a large-scale classification map for surface sediment distribution, in accordance with sedimentology standards, using an object-based method. The object-based method is an effective technique that can classify surface sediment distribution by analyzing its correlations with spectral reflectance, grain size, and tidal channels. Therefore, we distinguished six sediment types based on their spectral reflectance and sediment properties, such as grain composition and statistical parameters. The accuracy assessment of the surface sediment classification based on these six types indicated an overall accuracy of 72.8%, with a kappa coefficient of 0.62 and 5-m error range related to the Global Positioning System (GPS) device. We found that 11 samples were misclassified due to the effects of sun glint and cloud caused by the UAV system and shellfish beds, while 14 misclassified samples were influenced by surface water related to the elevation, tidal channels, and sediment properties. These results indicate that large-scale classification of surface sediment with high accuracy is possible using UAV RGB orthoimagery.<\/jats:p>","DOI":"10.3390\/rs11030229","type":"journal-article","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T03:52:32Z","timestamp":1548301952000},"page":"229","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Generation of a Large-Scale Surface Sediment Classification Map Using Unmanned Aerial Vehicle (UAV) Data: A Case Study at the Hwang-do Tidal Flat, Korea"],"prefix":"10.3390","volume":"11","author":[{"given":"Kye-Lim","family":"Kim","sequence":"first","affiliation":[{"name":"Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology (KIOST), Busan 49111, Korea"},{"name":"Department of Ocean Environmental System Science, UST, 217, Gajeong-ro Yuseong-gu, Daejeon 34113, Korea"}]},{"given":"Bum-Jun","family":"Kim","sequence":"additional","affiliation":[{"name":"Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology (KIOST), Busan 49111, Korea"}]},{"given":"Yoon-Kyung","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Geoinfomation Engineering, Sejong University, Seoul 05006, Korea"}]},{"given":"Joo-Hyung","family":"Ryu","sequence":"additional","affiliation":[{"name":"Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology (KIOST), Busan 49111, Korea"},{"name":"Department of Ocean Environmental System Science, UST, 217, Gajeong-ro Yuseong-gu, Daejeon 34113, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"L11402","DOI":"10.1029\/2007GL030178","article-title":"Biologically-controlled multiple equilibria of tidal landforms and the fate of the Venice lagoon","volume":"34","author":"Marani","year":"2007","journal-title":"Geophys. Res. Lett."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1016\/j.ecss.2004.02.009","article-title":"A critical grain size for Landsat ETM+ investigations into intertidal sediments: A case study of the Gomso tidal flats, Korea","volume":"60","author":"Ryu","year":"2004","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3025","DOI":"10.1080\/01431160050144938","article-title":"The influence of surface and interstitial moisture on the spectral characteristics of intertidal sediment: Implications for airborne image acquisition and processing","volume":"21","author":"Rainey","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.margeo.2010.10.022","article-title":"Spatial relationship between surface sedimentary facies distribution and topography using remotely sensed data: Example from the Ganghwa tidal flat, Korea","volume":"280","author":"Choi","year":"2011","journal-title":"Mar. Geol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1007\/BF02365889","article-title":"Factor analysis and classification of remotely sensed data for monitoring tidal flats","volume":"43","author":"Doerffer","year":"1989","journal-title":"Helgol. Meeresunters."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1016\/S0034-4257(03)00126-3","article-title":"Mapping intertidal estuarine sediment grain size distributions through airborne remote sensing","volume":"86","author":"Rainey","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_7","unstructured":"Jensen, J.R. (2000). Remote Sensing of the Environment, Prentice Hall. [3rd ed.]."},{"key":"ref_8","first-page":"117","article-title":"Characteristics of Landsat ETM+ image for Gomso Bay tidal flat sediments Korean","volume":"19","author":"Ryu","year":"2003","journal-title":"J. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/0077-7579(86)90001-3","article-title":"Sediment classification and surface type mapping in the Danish Wadden sea by remote-sensing","volume":"20","author":"Bartholdy","year":"1986","journal-title":"Neth. J. Sea Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1006\/ecss.1993.1020","article-title":"The use of satellite imagery to determine the distribution of intertidal surface sediments of the Wash, England","volume":"36","author":"Yates","year":"1993","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.ecss.2010.03.019","article-title":"Quantitative estimation of intertidal sediment characteristics using remote sensing and GIS","volume":"88","author":"Choi","year":"2010","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.2112\/SI65-232.1","article-title":"Standardization of sedimentary facies and topography based on the tidal channel type in Western coastal area, Korea","volume":"65","author":"Eom","year":"2013","journal-title":"J. Coast. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.rse.2015.09.018","article-title":"A multi-sensor approach for detecting the different land covers of tidal flats in the German Wadden Sea-a case study at Norderney","volume":"170","author":"Jung","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Adolph, W., Farke, H., Lehner, S., and Ehlers, M. (2018). Remote Sensing Intertidal Flats with TerraSAR-X. A SAR Perspective of the Structural Elements of a Tidal Basin for Monitoring the Wadden Sea. Remote Sens., 10.","DOI":"10.3390\/rs10071085"},{"key":"ref_15","first-page":"151","article-title":"Numerical Modeling of Changes in Tides and Tidal Currents Caused by Embankment at Chonsu Bay","volume":"10","author":"So","year":"1998","journal-title":"JKSCOE"},{"key":"ref_16","first-page":"357","article-title":"Biogenic sedimentary structures of crustaceans at the intertidal flat of Whang Island, Cheonsu Bay (Korean edn.)","volume":"17","author":"Kim","year":"1996","journal-title":"JKESS"},{"key":"ref_17","first-page":"18","article-title":"Community structures of macrobenthos in Chonsu bay, Korea","volume":"33","author":"Lee","year":"1998","journal-title":"J. Korea Soc. Oceanogr."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1111\/j.1365-3091.1966.tb01572.x","article-title":"A review of grain size parameters","volume":"6","author":"Folk","year":"1968","journal-title":"Sedimentology"},{"key":"ref_19","unstructured":"Eom, J. (2008). Fractal Analysis of Inter-Tidal Channels and Creeks Using High Resolution Satellite Images Korea, Yonsei University."},{"key":"ref_20","first-page":"12","article-title":"What\u2019s wrong with pixels? Some recent development interfacing remote sensing and GIS","volume":"6","author":"Blaschke","year":"2001","journal-title":"Interfac. Remote Sens. GIS"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1927","DOI":"10.1016\/j.rse.2007.06.028","article-title":"QuickBird and Hyperion data analysis of an invasive plant species in the Galapagos Islands of Ecuador: Implications for control and land use management","volume":"112","author":"Walsh","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2006.01.013","article-title":"Forest change detection by statistical object-based method","volume":"102","author":"Desclee","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1016\/j.isprsjprs.2008.04.002","article-title":"An object-based method for mapping and change analysis in mangrove ecosystems","volume":"63","author":"Conchedda","year":"2008","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_24","unstructured":"Trimble (2014). eCognition\u00ae Developer 9.0 Reference Book, Trimble Germany GmbH."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/s12303-012-0015-6","article-title":"Tidal channel distribution in relation to surface sedimentary facies based on remotely sensed data","volume":"16","author":"Eom","year":"2012","journal-title":"Geosci. J."},{"key":"ref_26","first-page":"115","article-title":"Observation of ridge-runnel and ripples in Mongsanpo intertidal flat by satellite SAR imagery","volume":"26","author":"Jang","year":"2010","journal-title":"Korean J. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.rse.2005.06.004","article-title":"Characteristics of surface roughness and sediment texture of intertidal flats using ERS SAR imagery","volume":"98","author":"Herman","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/S0034-4257(01)00347-9","article-title":"Relating soil surface moisture to reflectance","volume":"81","author":"Liu","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1209","DOI":"10.1080\/01431168708954765","article-title":"A statistical optical model for light reflection and penetration through sand","volume":"8","author":"Neema","year":"1987","journal-title":"Int. J. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/3\/229\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:28:05Z","timestamp":1760185685000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/3\/229"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,22]]},"references-count":29,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2019,2]]}},"alternative-id":["rs11030229"],"URL":"https:\/\/doi.org\/10.3390\/rs11030229","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,22]]}}}